bonnard-cli: Archived. Earlier Bonnard product. Current: bonnard.dev / @bonnard/mcp-charts

by bonnard-data · MCP Server · ★ 50

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How to install bonnard-cli

npx @bonnard/cli init
npm install -g @bonnard/cli

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 69/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agenticagentic-analyticsagentic-schemaai-analyticsbigquerydata-catalogdatabricksdbtembedded-analyticsmcp-server

Quick Facts

Stars50
Forks3
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score69/100
Last Updated2026-07-03
Created2026-02-17
Platformscli, mcp, node
Est. Tokens~15k

About bonnard-cli

Agent-native analytics. One schema, many surfaces. Docs · Getting Started · Changelog · Discord · Website BI tools serve one UI. Bonnard serves everything. Agents over MCP, apps o

Compatible Skills

These tools work well together with bonnard-cli for enhanced workflows:

  • databao-context-engine — semantic(0.36)+complementary+rare_topics+similar_pop (58%)
  • stats-store — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)
  • agentic — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)

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Looking for a bonnard-cli alternative? If you're comparing bonnard-cli with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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